Software Engineering: Curriculum

Here you'll find detailed information on current courses of the Master's degree program Software Engineering. Please note that due to ongoing updates not all courses of the program might be fully displayed.

1. Semester

Name ECTS
SWS
Module 1.1 Software Development (MOD11)
German / kMod
6.00
-
Advanced Software Testing (AST)
German / ILV, FL
3.00
2.00

Course description

Software testing for advanced students with many practical exercises. The focus is on test case creation and test coverage for wither black- and whitebox testing. In addition test quality ist covered by residual error rate measurement and testing maturity.

Methodology

The learning outcomes are step by step through practical exercises developed. For each topic is a brief introduction, then the self-study-phase at home, and then one learning bloc together in the classroom.

Learning outcomes

After passing this course successfully students are able to ...

  • derive test cases professionally and methodically and assess their quality.
  • assess the testing maturity of an organization and estimate the number of remaining defects.

Course contents

  • Black Box Testing (how to derive high-quality test cases from the requirements)
  • White Box Testing (how to derive high quality test cases from the requirements plus the code, how to measure their quality objectively, how to measure the number of remaining defects objectively)
  • Testing Maturity (how to improve and measure the testing maturity of a testing organization)

Prerequisites

Basic knowledge in programming Basic knowledge in software testing

Literature

  • Self-study material will be provided b the teachers.

Assessment methods

  • Course immanent assessment method
Software Development (SWE)
German / ILV, FL
3.00
2.00

Course description

The course informs about the concepts of advanced software development on the basis of theoretical blocks on selected core competences like abstraction, refactoring and dealing with dependencies. In addition, individual exercises are called for to consolidate the presented topics in practice and make them understandable.

Methodology

Seminar and distant learning

Learning outcomes

After passing this course successfully students are able to ...

  • to find and argue a technically appropriate solution for a given problem.
  • to understand existing legacy source code and to optimize it in response to given problems.
  • to increase the quality of developed software.

Course contents

  • see german version

Prerequisites

Programming skills in object-oriented languages ​​such as Java or C #. Basic understanding of GOF Design Patterns. Basic understanding of Clean Code principles

Assessment methods

  • three individual exercises; Tests with practical and theoretical part;
Module 1.2 (MOD12)
German / kMod
6.00
-
Functional Programming (FPR)
German / ILV, FL
3.00
2.00
Software Architecture (SWA)
German / ILV, FL
3.00
2.00
Module 1.3 Human Factors (MOD13)
German / kMod
6.00
-
Computer Science and Humans (IUM)
German / ILV, FL
3.00
2.00

Course description

Computer science has a far-reaching impact on people's lives. On the one hand, information technologies open up completely new possibilities, on the other hand they also present risks. From the point of view of computer science, the course deals with these issues. On the basis of partly provocative statements, various aspects are illuminated. For example, the question arises as to what extent the health data of patients should be collected centrally, since this could have positive as well as negative effects.

Methodology

Seminar flipped classroom E-Learning

Learning outcomes

After passing this course successfully students are able to ...

  • name positive and negative effects of computer science on the life of humans
  • describe at least one element in detail (positive and negative effects)

Course contents

  • see german version

Prerequisites

Bachelor´s degree in computer science or similiar degree

Literature

  • various sources, are announced during the lesson

Assessment methods

  • Continuous assessment

Anmerkungen

none

User Centered Design (UCD)
German / ILV, FL
3.00
2.00

Course description

There are numerous software systems on the market, but many of them cause problems for the user – in the professional as well as the private domains. This costs time, money and damages the company’s image, sometimes it even causes severe safety risks. But how can we develop systems which serve the requirements and fulfil the expectations of the real users? The user centered design approach is taught, which can serve this purpose.

Methodology

This course focuses on directly applicable theoretical basics as well as numerous practical exercises and examples

Learning outcomes

After passing this course successfully students are able to ...

  • explain the necessity and advantages of a user centred design process and apply them to a concrete project
  • explain the user centred design process itself in details, plan development phases accordingly and apply them to a concrete project
  • apply a selection of state of the art methods in concrete projects

Course contents

  • Usability Engineering und UX processes, methods and their application, problems and risks
  • Cognitive and social psychology basics of UX

Prerequisites

Basic knowledge of usability enginering and UX phases are assumed A reader will be provided asap, with which students can check and complement their knowledge

Literature

  • tbd

Assessment methods

  • The blended learning activities will be continuously checked Final written exam
Module 1.4 Language and Design Paradigmes (MOD14)
German / kMod
6.00
-
Advanced Modeling (AMD)
German / ILV, FL
3.00
2.00

Course description

The course conveys profound UML-knowledge. Contrary to customary UML-courses, it includes 1) many examples from the software industry 2) non-UML-methods, if relevant in the industry 3) modeling methods, not just model “grammar”. In particular, the order in which the diagrams are created, the relationships between the diagrams and the interconnections with other steps in software engineering (e.g. code generation and model based testing) are explored. There are several crosscutting case studies used in all of the teacher’s courses to show the connections of the software engineering disciplines in more detail.

Methodology

Self study, including compulsory and optional exercises In class, there are 1) Clarifications, if needed 2) Presentations of the results achieved at home 3) Group exercises 4) Individual exercises 5) Exchange of experiences made in the industry For details, see ppt “Training Approach Blended Learning” in Moodle.

Learning outcomes

After passing this course successfully students are able to ...

  • develop UML models showing both statical and dynamical features of IT-systems.
  • assess the quality of models
  • develop a modeling method suitable for their project and to put it into practice successfully

Course contents

  • Structure modeling
  • Behavior modeling
  • Modeling methods

Prerequisites

Basic knowledge of object oriented programming

Literature

  • Weilkiens, Tim / Oestereich, Bernd: „UML 2 - Zertifizierung: Fundamental, Intermediate und Advanced"

Assessment methods

  • Course-immanent assessment method
Requirements Engineering (RQE)
German / ILV, FL
3.00
2.00

Course description

The course conveys profound requirements engineering knowledge based on industry examples, covering both requirements elicitation and requirements documentation. In requirements elicitation the focus is on adapting the method to the various types of requirements. In requirements documentation the focus is on changeability, traceability and avoiding the pitfalls of natural language requirements. There are several crosscutting case studies used in all of the teacher’s courses to show the connections of the software engineering disciplines in more detail.

Methodology

Self study, including compulsory and optional exercises In class, there are 1) Clarifications, if needed 2) Presentations of the results achieved at home 3) Group exercises 4) Individual exercises 5) Exchange of experiences made in the industry For details, see ppt “Training Approach Blended Learning” in Moodle.

Learning outcomes

After passing this course successfully students are able to ...

  • elicit the various requirements types using suitable methods
  • structure the body of requirements appropriately
  • document each requirement without ambiguity

Course contents

  • Requirements elicitation
  • Requirements structuring
  • Requirements documentation

Prerequisites

Practical experience in requirements engineering is helpful.

Literature

  • Chris Rupp, Requirements-Engineering und -Management: professionelle, iterative Anforderungsanalyse für die Praxis (Hanser, 2009)
  • Klaus Pohl, Chris Rupp, Requirements Engineering Fundamentals (Rocky Nook, 2011)
  • The work of Carl Wiegers is pretty old now, but still worth reading: http://www.processimpact.com/pubs.shtml#requirements
  • The Sophist group publishes a lot of good material on requirements engineering: https://www.sophist.de/downloads/

Assessment methods

  • Course-immanent assessment method
Module 1.5 Software Engineering and Management 1 (MOD15)
German / kMod
6.00
-
Advanced IT Project Management 1 (PM1)
German / ILV, FL
3.00
2.00

Course description

This course shows the enhanced aspects of project management for software engineers. The content of this course is based on the PMI Standard and concentrates on the process groups ‘Initiation’ and ‘Planning’. The theory will be elaborated and verified on the elements of a project CANVAS. Enhancements of corporate contexts as well as methods and techniques will be given. This course focuses on software projects.

Methodology

Lecture, Practice, Self-Study and Feedback, Presentations, Case studies

Learning outcomes

After passing this course successfully students are able to ...

  • … name basic processes, phases and standards of software project management
  • … elaborate on Project CANVAS and its elements for a case project
  • … understand the economic and organizational context of projects

Course contents

  • Project Management Basics, Standards, Processes, Project CANVAS
  • CANVAS topics for presence: WHAT - Out of Scope, Background, Problem, Objectives, Deliverables; WHO - Team, Stakeholders; HOW - Approach, Risks, Dependencies; WHEREIN - Constraints, Quality; WHEREBY - Time, Finance, Resources
  • Context areas for distance learning: WHAT - Business Case and Problem definition; Business Organization; WHO - HR-Management in software development and Management of Competencies; HOW - Dependencies and Approaches (classic, agile, hybrid); WHEREIN - Corporate Strategy and “Architecture”; WHEREBY - Resource Management and Cost Management in IT projects

Prerequisites

Basic project management experiences in theory and practice

Literature

  • Jakoby, W. (2019): Projektmanagement für Ingenieure, 4. Auflage, Springer Verlag
  • PMBOK (2017) - A Guide to the Project Management Body of Knowledge (PMBOK® Guide) - 6th Edition
  • Kor, R. / Bos, J. / van der Tak, T. (2018): Project Canvas: Innovative Methoden für professionelles Projektmanagement, Schäffer-Pöschel Verlag

Assessment methods

  • Work on and present results for the five CANVAS areas (5 x 5 marks = 25 marks)
  • Preparation of five context related tasks including ongoing feedback and final presentation (5 x 5 marks = 25 marks)
  • Written exam (50 marks)
Leading distributed, multicultural and international teams (FMT)
German / ILV, FL
3.00
2.00

Course description

The course imparts the students theoretical knowledge of leading intercultural, dispersed and international (IDI-) teams and prepares them to implement it in a vocational context. The personal reflection, the work on case studies and the practise of opportunities of behaviour take center stage.

Methodology

Seminar and distant learning

Learning outcomes

After passing this course successfully students are able to ...

  • analyse problems, chances and dynamics in IDI-teams (e.g. on the basis of cultural dimensions and identities) and to reflect the own behaviour.
  • outline the role of leadership in the different stages of team development (e.g. by Tuckman) particulary in IDI-teams and derive relevant leading actions.
  • explain leadership strategies in IDI-teams (e.g. functions and instruments) and develop them by means of simple cases.

Course contents

  • Multi-, inter- and transculturality
  • Cultural aspects (e.g. cultural dimensions by Hofstede, cultural identity)
  • Factors in international personnel management
  • Characteristics of dispersed teams
  • Leadership styles and tools of project teams
  • Criterias and competences for successful leadership of IDI-teams

Prerequisites

none

Literature

  • Cronenbroeck, Wolfgang (2008): Projektmanagement, Verlag Cornelsen, Berlin
  • Kellner, Hedwig (2000): Projekte konfliktfrei führen. Wie Sie ein erfolgreiches Team aufbauen, Hanser Wirtschaft
  • Majer Christian/Stabauer Luis (2010): Social competence im Projektmanagement - Projektteams führen, entwickeln, motivieren, Goldegg-Verlag, Wien
  • weitere Literatur zu interkulturellen, verteilten und internationalen Teams

Assessment methods

  • Course immanent assessment method and exame (grade)

Anmerkungen

none

2. Semester

Name ECTS
SWS
Module 2.1 Software Quality (MOD21)
German / kMod
6.00
-
Advanced Software Quality Management (SQM)
German / ILV, FL
3.00
2.00
Software Frameworks (SFR)
German / ILV, FL
3.00
2.00

Learning outcomes

After passing this course successfully students are able to ...

  • explain the concept of software frameworks
  • design a software framework including the abtract and real casses, using Role Based Modeling
  • using an OSGi implementation to implement an application or Framework

Course contents

  • OSGi, Role Model Based Framework Design, API Design

Prerequisites

Java

Module 2.2 Artificial Intelligence (MOD22)
German / kMod
6.00
-
Data Science (DAS)
German / ILV, FL
3.00
2.00
Machine Learning (MLE)
German / ILV, FL
3.00
2.00
Module 2.3 Human Machine Interaction (MOD23)
German / kMod
6.00
-
Human Computer Interaction and Communications (MMI)
German / ILV, FL
3.00
2.00
Interaction Design (IXD)
German / ILV, FL
3.00
2.00
Module 2.4 Advanced Computing (MOD24)
German / kMod
6.00
-
High-Performance Computing (HPC)
German / ILV, FL
3.00
2.00

Course description

This course gives an introduction to parallel programming on Graphics Processing Units (GPUs) with respect to high performance. It covers the hardware archtitecture of GPUs as well as the parallel programming API OpenCL.

Learning outcomes

After passing this course successfully students are able to ...

  • implement basic OpenCL applications (e.g., image filters).
  • explain the basic architecture of a GPU and associated parallel programming models.
  • highlight differences between the OpenCL/GPU memory model and the CPU/main RAM model and explain resulting implications for highly efficient parallel programs.
  • implement the scan algorithm in OpenCL.
  • explain the application of the scan algorithm in parallel applications such as sorting or image processing

Course contents

  • Parallel programming paradigms and algorithms
  • OpenCL programming
  • GPU architecture and memory model
  • performance optimization of parallel programs

Prerequisites

C++ or Java programming skills

Literature

  • McCool, Robison, Reinders: Structured Parallel Programming. Elsevier, 2012

Assessment methods

  • Course immanent assessment method:
  • self evaluation exercises (online)
  • programming project
  • final presentation
Parallel Programming (PPR)
German / ILV
3.00
2.00

Course description

Parallel programming with multithreading

Methodology

Lecture with practical exercises and homework.

Learning outcomes

After passing this course successfully students are able to ...

  • understand and work with concurrency primitives (e.g. Monitors) in real-world scenarios
  • explain and countermeasure problems such as race conditions or deadlocks
  • analyze sequential programs for potential speedup via parallel execution as well as the parallel implementation
  • implement loops and divide-and-conquer algorithms in a parallel way such that the overall-performance increases
  • understand concepts (Threadpools, Data-parallelism and task parallelism) typically found in parallel programming frameworks such as OpenMP, CilkPlus, TPL and Java Parallel streams
  • understand and countermeasure practical performance problems such as oversubscription and false sharing

Course contents

  • Development and application of parallel programming concepts. In practial exercises those concepts will be realized in C# and C. Differences and similarities between concrete implementations (as found in CilkPlus or OpenMP) are explained and discussed.

Prerequisites

C basic knowledge, very good programming skills in at least one programming language

Literature

  • Michael McCool et al, Structured Parallel Programming: Patterns for Efficient Computation. Morgan Kaufmann, 2012
  • Tim Mattson et al, Patterns for Parallel Programming. Addison-Wesley Professional, 2004

Assessment methods

  • Course immanent assessment method
Module 2.5 Software Engineering and Management 2 (MOD25)
German / kMod
6.00
-
Advanced IT Project Management 2 (PM2)
German / ILV, FL
3.00
2.00
Legal Aspects of Information Technology (RAI)
German / ILV, FL
3.00
2.00

3. Semester

Name ECTS
SWS
Module 3.1 Mandatory Courses (MOD31)
German / kMod
6.00
-
Module 3.1A - Elective Courses A (MOD3A)
German / kMod
3.00
-
Advanced Web Technologies (AWT)
German / ILV, FL
3.00
2.00

Course description

The purpose of this course is to give you an overview of the use of current web technologies

Methodology

seminar, online teaching

Learning outcomes

After passing this course successfully students are able to ...

  • To implement a single-page web app using of Angular/React/Vue.js
  • To distinguish the individual technologies according to strengths and weaknesses as well as areas of application

Course contents

  • Rich Internet Applications (HTML / JavaScript-based): Programming Languages & Frameworks
  • JS Libraries/Frameworks: Angular JS / React / Vue.js
  • Mobile Hybrid-App Development: Cordova / Ionic Framework

Prerequisites

HTML and JavaScript

Literature

  • Preston Prescott, HTML5: Discover How To Create HTML 5 Web Pages With Ease (HTML5 CSS3 JavaScript)
  • Florian Franke, Apps mit HTML5, CSS3 und JavaScript: Für iPhone, iPad und Android
  • Semmy Purewal, Learning Web App Development
  • Sebastian Springer, Node.js: Das umfassende Handbuch. Serverseitige Webapplikationen mit JavaScript entwickeln
  • Oliver Zeigermann, React:Die praktische Einführung in React, React Router und Redux
  • Christoph Höller, Angular: Das umfassende Handbuch zum JavaScript-Framework. Einführung, Praxis, TypeScript und ECMAScript 2015. Ab Angular 2

Assessment methods

  • Test + Exercises
Augmented Reality (AMR)
German / ILV, FL
3.00
2.00

Course description

Augmented reality (AR) is the connection of real and virtual content. In this course, the technological basics and practical applications of AR are presented.

Learning outcomes

After passing this course successfully students are able to ...

  • differ between different augmented reality systems, characterize them (image-based, sensor-based) and appropriately select them for different use cases (e.g. stationary installation, mobile application, etc.)
  • analyze and evaluate different image-based tracking methods (marker, NFT, SLAM, 3D tracking) regarding their tracking performance
  • and eventually select existing AR software frameworks (e.g. Metaio SDK, vuforia SDK, etc.) in order to use them in their own projects or implement their own AR applications. In order to achieve this, students will implement a mobile AR app with predefined functions (tracker change, content change, simple animation, calculations of tracking pose, etc.)

Course contents

  • AR basics & tracking methods: marker based-, NFT-, SLAM- and 3D trackingn- Rendering, OpenGL, CG, materials, textures, transparency, 3D enginesn- GPS based AR, audio AR, AR glasses (Google Glass, Epson)n- AR SDKs and frameworksn- Interaction, animation, picking

Prerequisites

Basic knowledge of computer graphics and computer vision as well as basic mathematical knowledge are an advantage.

Assessment methods

  • Regular assessment, practical exams, final exam.
Concepts of Programming Languages (SPK)
German / ILV, FL
3.00
2.00

Course description

Concepts of Progamming languages, programming paradigms and foundations of compilers and interpreters

Methodology

Lecture part, exercises, interviews

Learning outcomes

After passing this course successfully students are able to ...

  • apply a programming paradigm in programming languages
  • write simple programs in functional and logical programming languages
  • design and use regular expressions and grammars
  • design and use context free grammars
  • implement a simple compiler for a tiny language using a parser generator

Course contents

  • Imperative programming paradigm: procedural, object oriented
  • Declarative programming paradigm: functional, logic
  • Halting problem, turing machines
  • Regular languages, grammars, expressions
  • Context free languages, grammars
  • Basics of compiler construction, static program analysis
  • Concurrency, parallelism

Prerequisites

C basic knowledge, function parameters

Literature

  • Carlo Ghezzi, Mehdi Jazayeri. Programming Language Concepts.
  • John C. Mitchell. Concepts in Programming Languages.
  • Alfred V. Aho, Monica S. Lam, Ravi Sethi, Jeffrey D. Ullman. Compilers: Principles, Techniques, and Tools.
  • Donald Knuth. The Art of Computer Programming.

Assessment methods

  • 60% exercises, 10% participation, 30% final test. At least half of the points must be achieved.
Introduction to Graph Databases (GDB)
English / ILV, FL
3.00
2.00

Course description

The first (online) part of the course will introduce the context for GDB, and how they situate within the NoSQL paradigm. The main concepts, tools, and techniques for GDB will be studied, with emphasis in the property graph data model and Neo4j (and its accompanying query language, Cypher). The course will also cover the basics of graph processing frameworks, aimed at processing very large graphs. Finally, RDF graphs will be covered, as an alternative to the property graph data model.

Learning outcomes

After passing this course successfully students are able to ...

  • Model and query a GDB
  • Evaluate the convenience or not of using such database instead of (typically) a relational database, for a given problem.

Course contents

  • Introduction to Big Data and the NoSQL paradigm.
  • Fundamentals of graph databases. Basic concepts. The property graph data model.
  • Property graph databases vs. Relational databases. Property graph Implementations: Sparksee, HypergraphDB, Neo4j.
  • Neo4j data model. The Cypher query language. Basic and advanced queries. Analytical queries in Neo4j.
  • An overview of graph processing frameworks
  • Another graph data model: RDF graph stores. Property graphs vs RDF graph stores.

Prerequisites

Knowledge of relational databases and SQL

Literature

  • R. Angles. A Comparison of Current Graph Database Models. In Proceedings of ICDE Workshops, pages 171{177, Arlington, VA, USA, 2012.
  • Renzo Angles and Claudio Gutierrez. Survey of graph database models. ACM Comput. Surv., 40(1):1:1{1:39, 2008.
  • NoSQL Databases. http://nosql-database.org/.
  • Grzegorz Malewicz, Matthew H. Austern, Aart J.C Bik, James C. Dehnert, Ilan Horn, Naty Leiser, and Grzegorz Czajkowski. Pregel: a system for large-scale graph processing. In Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, pages 135{146. ACM, 2010.
  • O. Hartig. Reconciliation of RDF* and property graphs. CoRR, abs/1409.3288, 2014.
  • Ian Robinson, Jim Webber, and Emil Eifrem. Graph Databases. O'Reilly Media, Inc., 2013.
  • A. Vaisman and E. Zimanyi. Data Warehouse Systems: Design and Implementation. Springer, 2014.

Assessment methods

  • The fi nal course grade will be the weighted average of the marks of the three projects: 6/16 * P1 + 3/16 * P2 + 7/16 * P3. Regardless the weight, the presentation of the three projects is mandatory.
Mental Power for IT Disciplines (MIT)
German / ILV, FL
3.00
2.00

Course description

In thus course you will learn to use the whole capacity of your brain to solve problems and to achieve any goal you wish

Methodology

Seminar and distant learning

Learning outcomes

After passing this course successfully students are able to ...

  • formulate goals you want to achieve which are suitable for your subconsious mind
  • practicing basic elements of attention meditation
  • focus the conscious mind on goals to align unconscious processes

Course contents

  • Processing of information in the human brain
  • Consciousness and unconsciousness parts of the brain
  • Gaining consciousness use of primarily unconsciousness parts of the brain
  • Using skill full meditation techniques to improvebusiness performance

Prerequisites

none

Literature

  • James Borg, "Mind Power", Pearson 2010
  • Kazuo Inamori, "A Compass to Fulfillment", Mc Graw Hill 2010
  • Heinz Hilbrecht, "Meditation und Gehirn", Schattauer, 2010
  • Richard Bandler, "Veränderung des subjektiven Erlebens", Jungfern Verlag 2007, Original: "Using your brain - for a change", Real People Press, U.S. (August 1985)
  • Henry P. Stapp, "Mindful Universe" 2nd Edt Springer 2011
  • Chade-Meng Tan "Search Inside Yourself" Optimiere dein Leben durch Achtsamkeit, Goldmann Verlag 2015

Assessment methods

  • Continuous assessment

Anmerkungen

none

Software Measurement and Testautomatisation (SWM)
German / ILV, FL
3.00
2.00
Module 3.1B - Elective Courses B (MOD3B)
German / kMod
3.00
-
Advanced Design Patterns for Smartphone Applications (DSM)
English / ILV, FL
3.00
2.00

Course description

Design Patterns for the Development of Smartphone Apps for Android and iOS.

Learning outcomes

After passing this course successfully students are able to ...

  • name and describe the unique characteristics of the respective platform's programming language
  • explain advanced design patterns for smartphone applications and apply them in their apps
  • find appropriate 3rd party frameworks for feature implementations and correctly integrate them in their app architecture

Course contents

  • Android and iOS app design patterns.

Prerequisites

Basic software development experience with Java / C/C++ / Objective C.

Literature

  • Mike Rogers (2015): Swift Recipes: Problem-Solution Approach, ApressDave Smith (2015): Android Recipes: A Problem-Solution Approach for Android 5.0, Apress

Assessment methods

  • End exam
Application Lifecycle Management (ALM)
German / ILV, FL
3.00
2.00
Cloud Platforms and IT Security (CIS)
German / ILV, FL
3.00
2.00

Course description

Quality and security of clouds is a requirement for their successful use. With regard to quality, numerous standards are available. We study these standards with regard to clouds and assess their quality and usefulness. With regard to security, we identify and analyze typical security problems in cloud setups. Further, we discuss difference to ordinary deployments as well as countermeasures. Within projects, we apply our previously gained knowledge.

Methodology

Presentation and practical exercisees

Learning outcomes

After passing this course successfully students are able to ...

  • identify suitable standards for cloud solution.
  • define meaningful criteria for cloud solutions.
  • choose adequate cloud solutions/platforms.
  • describe and identify security issues in cloud solutions.
  • identify and implement adequate countermeasures.

Course contents

  • Introduction to standards in the context of clouds
  • Assessment of standards in the context of couds
  • Introduction to security matters and solutions in the context of clouds

Prerequisites

Basic understanding of standards programming knowledge

Literature

  • https://staraudit.org/
  • https://cloudsecurityalliance.org/

Assessment methods

  • Exercise and presentation of evaluation criteria
  • Project on assessment of cloud service
  • Exercise measurement of side channels
  • Short reports on content
Internet Vision (IVS)
German / ILV, FL
3.00
2.00

Course description

Lecture with exercises on Computer Vision, Computer Graphics and Multimedia applied to the Internet.

Learning outcomes

After passing this course successfully students are able to ...

  • After passing this course successfully students are able to• generate new content (i.e. images) from internet data• interpret images based on their content described by image features• apply combinations of deep learning and biddata applications on digital images

Course contents

  • Internet Vision Fundamentals
  • Big Data – Internet of Things
  • Deep Learning
  • Lifelogging
  • Object Recognition
  • Scene Completion and other applications

Prerequisites

Matlab and Visual Computing

Literature

  • Hays J., Alexei A. Efros (2007). Completion Using Millions of Photographs.. ACM Transactions on Graphics (SIGGRAPH 2007). vol. 26, No. 3.
  • Jing Y. and Baluja S.. (2008) :PageRank for Product Image Search, 17th International IEEE World Wide Web Conference.
  • Snavely N., Seitz S.M., Szeliski R. (2006). Photo tourism: exploring photo collections in 3D, ACM SIGGRAPH, pp 835-846.
  • Stone, Z.; Zickler, T.; Darrell, T., Toward Large-Scale Face Recognition Using Social Network Context, Proceedings of the IEEE , vol.98, no.8, pp.1408,1415, Aug. 2010

Assessment methods

  • Course immanent assessment method
  • Presentation and life demo of selected topics
  • Review of scientific reports/papers
  • Evaluation/Tests of available tools on the web
Software Architecture (SWA)
German / ILV, FL
3.00
2.00
Voice User Interface Development (VUI)
German / ILV, FL
3.00
2.00
Module 3.2 Master's Project (MOD32)
English / iMod
24.00
-
Master´s Project (MPR)
English / PRJ
21.00
14.00

Course description

The course provides space for preparatory activities for the Master Thesis carried out as a project. The results are incorporated in the Master Thesis.

Learning outcomes

After passing this course successfully students are able to ...

  • After successful completing the course, students are able to… write their master thesis in accordance to the rules of project management.

Course contents

  • Preparatory work for the Master's thesis For example:
  • Programming activities
  • Theoretical work
  • Participation in IT projects
  • Evaluation of technologies and products with scientific methods
  • Feasibility study, prototype development

Prerequisites

Courses of the first and second semester of the master software development

Literature

  • For the project, relevant textbooks/Journals

Assessment methods

  • Assessment of the master’s thesis project

Anmerkungen

The supervision is done on an individual basis in synchronous or asynchronous settings and is supported by modern communication tools. The course is not displayed in the timetable and no attendance records are kept.

Scientific Work (WIA)
German / SE
3.00
2.00

4. Semester

Name ECTS
SWS
Modul 4.1 (MOD41)
German / kMod
6.00
-
Advanced Design Patterns for Smartphone Applications (FDPSM)
English / ILV, FL
3.00
2.00

Course description

Design Patterns for the Development of Smartphone Apps for Android and iOS.

Learning outcomes

After passing this course successfully students are able to ...

  • name and describe the unique characteristics of the respective platform's programming language
  • explain advanced design patterns for smartphone applications and apply them in their apps
  • find appropriate 3rd party frameworks for feature implementations and correctly integrate them in their app architecture

Course contents

  • Android and iOS app design patterns.

Prerequisites

Basic software development experience with Java / C/C++ / Objective C.

Literature

  • Mike Rogers (2015): Swift Recipes: Problem-Solution Approach, ApressDave Smith (2015): Android Recipes: A Problem-Solution Approach for Android 5.0, Apress

Assessment methods

  • End exam
Augmented Reality (AMR)
English / ILV, FL
3.00
2.00

Course description

Augmented reality (AR) is the connection of real and virtual content. In this course, the technological basics and practical applications of AR are presented.

Methodology

Seminar and distant learning

Learning outcomes

After passing this course successfully students are able to ...

  • differ between different augmented reality systems, characterize them (image-based, sensor-based) and appropriately select them for different use cases (e.g. stationary installation, mobile application, etc.)
  • analyze and evaluate different image-based tracking methods (marker, NFT, SLAM, 3D tracking) regarding their tracking performance
  • and eventually select existing AR software frameworks (e.g. Metaio SDK, vuforia SDK, etc.) in order to use them in their own projects or implement their own AR applications. In order to achieve this, students will implement a mobile AR app with predefined functions (tracker change, content change, simple animation, calculations of tracking pose, etc.)

Course contents

  • AR basics & tracking methods: marker based-, NFT-, SLAM- and 3D trackingn- Rendering, OpenGL, CG, materials, textures, transparency, 3D enginesn- GPS based AR, audio AR, AR glasses (Google Glass, Epson)n- AR SDKs and frameworksn- Interaction, animation, picking

Prerequisites

Basic knowledge of computer graphics and computer vision as well as basic mathematical knowledge are an advantage.

Assessment methods

  • continuous assessment, practical exams, final exam.
Big Data Analytics (BDA)
German / ILV, FL
3.00
2.00

Course description

The course provides an introduction to methods of data mining, with a focus on unsupervised learning methods such as clustering or association rule mining and collaborative filtering, data projection methods, and anomaly/outlier detection. The LVA covers the complete data analysis process, using process models such as Fayyad's Knowledge Discovery in Databases process or the CRISP-DM (Cross-industry standard process for data mining).

Methodology

Lecture and exercises

Learning outcomes

After passing this course successfully students are able to ...

  • Extract relevant knowledge from large databases
  • Support business decisions with Data Mining
  • Analyze business problems and questions with the help of data
  • Select of suitable data mining algorithms and methods to meet a problem definition

Course contents

  • Data projection / Dimensionality reduction
  • Clustering
  • Association Rule Mining / Collaborative Filtering
  • Anomaly detection / Outlier detection
  • Privacy-preserving data analysis / secure computation

Prerequisites

Basic knowledge of statistics (important basics are repeated)

Assessment methods

  • Exercises and final exam
Docker / Swagger (DOSW)
German / ILV, FL
3.00
2.00

Course description

This course will provide an overview of the capabilities and possibilities of using container-based virtualization technologies, examining Docker as an example in detail. Additionally Swagger, a framework to create RESTful services/APIs will be explored.

Methodology

Seminar and distant learning

Learning outcomes

After passing this course successfully students are able to ...

  • understand and explain container-based virtualization
  • decide when (not) to use container-based virtualization
  • understand and explain RESTful services/APIs
  • create a RESTful service/API using Swagger

Course contents

  • overview of different virtualization technologies
  • Docker, a container-based virtualization technology
  • RESTful services/APIs
  • Swagger, a framework to create RESTful services/APIs

Prerequisites

none (basic knowledge of IT/concept of virtualization helpful)

Literature

  • https://docs.docker.com/get-started/
  • https://swagger.io/getting-started/

Assessment methods

  • Continuous assessment
Internet Vision (IVI)
English / ILV, FL
3.00
2.00

Course description

Lecture with integrated exercises on Compute Vision, Computer graphics applied to large scale images

Methodology

Thematic presentations by the lecturer & selected topics by the students Hands On and exercise to be solved by the students Extented summary of a scientific paper

Learning outcomes

After passing this course successfully students are able to ...

  • data generation from large scale images
  • content based information retrieval
  • Deep Learning - BigData - IoT

Course contents

  • Internet Vision Fundamentals
  • Big Data – Internet of Things
  • Lifelogging
  • Scene Completion and other thematic applications

Prerequisites

Fundamentals Visual Computing

Literature

  • Hays J., Alexei A. Efros (2007). Completion Using Millions of Photographs.. ACM Transactions on Graphics (SIGGRAPH 2007). vol. 26, No. 3.
  • Jing Y. and Baluja S.. (2008) :PageRank for Product Image Search, 17th International IEEE World Wide Web Conference.
  • Snavely N., Seitz S.M., Szeliski R. (2006). Photo tourism: exploring photo collections in 3D, ACM SIGGRAPH, pp 835-846.
  • Stone, Z.; Zickler, T.; Darrell, T., Toward Large-Scale Face Recognition Using Social Network Context, Proceedings of the IEEE , vol.98, no.8, pp.1408,1415, Aug. 2010

Assessment methods

  • Immanent assessment
  • Report & Life Demos
  • Rading and understanding a scientific paper
Mental Power for IT Disciplines (MIT)
German / ILV, FL
3.00
2.00

Course description

In thus course you will learn to use the whole capacity of your brain to solve problems and to achieve any goal you wish.

Methodology

- Seminar - Distant Learning

Learning outcomes

After passing this course successfully students are able to ...

  • formulate goals you want to achieve which are suitable for your subconsious mind
  • practicing basic elements of attention meditation
  • focus the consciousness mind on goals to align unconscious processes

Course contents

  • Processing of information in the human brain
  • Consciousness and unconsciousness parts of the brain
  • Gaining consciousness control of primarily unconsciousness parts of the brain
  • Using skill full meditation techniques to improvebusiness performance

Prerequisites

Completion of all previous MSE courses

Literature

  • James Borg, "Mind Power", Pearson 2010
  • Kazuo Inamori, "A Compass to Fulfillment", Mc Graw Hill 2010
  • Heinz Hilbrecht, "Meditation und Gehirn", Schattauer, 2010
  • Richard Bandler, "Veränderung des subjektiven Erlebens", Jungfern Verlag 2007, Original: "Using your brain - for a change", Real People Press, U.S. (August 1985)
  • Henry P. Stapp, "Mindful Universe" 2nd Edt Springer 2011
  • Chade-Meng Tan "Search Inside Yourself" Optimiere dein Leben durch Achtsamkeit, Goldmann Verlag 2015

Assessment methods

  • Continuous assessment
Mobile Application Engineering (EPMA)
English / ILV, FL
3.00
2.00

Course description

Introduction into app development for Android and iOS.

Learning outcomes

After passing this course successfully students are able to ...

  • After successfully completing the course, students are able to
  • develop Android and iOS Apps, using the latest Development Environment and Toolchain
  • describe the Liefcycle of Smartphone Applications and explain common concepts in the areas of Testing, Publishing, Marketing & Business Models
  • estimate the required resources for a feature implementation on Android and iOS

Course contents

  • Android and iOS app development and source control management with Git.

Prerequisites

Basic software development experience with Java / C/C++ / Objective C.

Literature

  • Joseph Anuzzi Jr, Lauren Dracay, Shane Conder (2014): Advanced Android Application Development, Addison-Wesley Professional Neil Smyth (2015): iOS 8 App Development Essentials - Second Edition: Learn to Develop iOS 8 Apps using Xcode and Swift 1.2, CreateSpace Independent Publishing Platform

Assessment methods

  • Participation, development of the project, delivery dates, clean source code with comments and Git commits.
Selected Topics Software Engineering 2 (AKS2)
English / ILV, FL
3.00
2.00

Course description

Introduction to the Semantic Web and Linked Data

Methodology

Seminar and distand learning

Learning outcomes

After passing this course successfully students are able to ...

  • explain the main concepts related to the semantic web,
  • explain how to publish, share, and query data on the semantic Web.

Course contents

  • Day 1. Units 1 and 2. Introduction to the SW. Motivation. Main definitions. The web as a database. The web of documents vs. the web of data.Day 1. Units 3 and 4. The Semantic Web stack. The RDF data model. Triples, RDF graphs, Data sets. Blank nodes. Data types. Reification. Languages: N3 and Turtle. RDFS: inference basics. Class practice RDF.3. Day Units 5 and 6. The SPARQL query language. Basic Graph patterns (BGP). SPARQL 1.1 syntax. Formas: SELECT, CONSTRUCT, ASK, DESCRIBE. Agregation. FILTER, OPTIONAL clauses. Subqueries. UNION. SPARQL Update, SPARQL Protocol.Day 2. Units 7 and 8. Linked Data principles. Linked Data 5-star. Open Data. data acquisition: Open Refine, R2RML (RDB2RDF). Vocabularies. Endpoints. real-world examples. Publishing statistical data: the QB vocabulary.Distance Work. There are three projects. First, a list of exercises to be solved by the students, about basic SW concepts (6 units). A second project in modeling a database in RDF, and querying it in SPARQL (10 units). The third project is about representing and querying statistical data on the SW (4 units).

Prerequisites

Bachelor level in computer science

Literature

  • 1. Renzo Angles and Claudio Gutierrez. Subqueries in SPARQL. In Pablo Barcel´o and Val Tannen, editors, AMW, volume 749 of CEUR Workshop Proceedings. CEUR- WS.org, 2011.2. Marcelo Arenas and Jorge P´erez. Querying semantic web data with sparql. In Maurizio Lenzerini and Thomas Schwentick, editors, PODS, pages 305–316. ACM,2011.3. Dave Beckett. N-Triples, 2004.4. Dave Beckett and Tim Berners-Lee. Turtle - Terse RDF Triple Language, 2011.5. Tim Berners-Lee. Notation 3, 2006.6. C. Bizer, T. Heath, and T. Berners-Lee. Linked data-the story so far. International Journal on Semantic Web and Information Systems (IJSWIS), 5:1–22, 2009.7. R. Cyganiak. A relational algebra for SPARQL. Digital Media Systems Laboratory, HP Laboratories Bristol, 1:2005–170, 2005.8. S. Das, S.Sundara, and R. Cyganiak. R2RML: RDB to RDF Mapping Language, 2012.9. Peter Hayes and B. McBride. RDF Semantics, 2004.10. Pascal Hitzler, Markus Krotzsch, and Sebastian Rudolph. Foundations of Semantic Web Technologies. Chapman & Hall/CRC, 2009.11. B. Kampgen and A. Harth. No size fits all - running the star schema benchmark with SPARQL and RDF aggregate views. In The Semantic Web: Semantics andBig Data, volume 7882 of LNCS, pages 290–304. Springer, 2013.12. J. P´erez, M. Arenas, and C. Gutierrez. Semantics and Complexity of SPARQL. ACM Transactions on Database Systems (TODS), 34(3):1–45, 2009.13. A. Vaisman and E. Zimanyi. Data Warehouse Systems: Design and Implementation. Springer, 2014.

Assessment methods

  • The final course grade will be the average of the marks of the three projects.

Anmerkungen

The lesson is done in a cooperation with ITBA Buenos Aires

Selected Topics in Software/App Management (AKSM)
English / ILV, FL
3.00
2.00

Course description

Indepth kowledge about the interfaces between management and IT. The viewpoints of companies, as startups and corporates and their managers and CIOs are being approached with a focus on the business aspect.

Learning outcomes

After passing this course successfully students are able to ...

  • After passing this course successfully students are able toDefine Project order, limits, context analysis• Draw Project portfolio-Management and corporate strategies• Define international technology expoitation• explain tools and approaches• Identify international technology expoitation networks

Course contents

  • • 2 VO Project management• 4 VO Project portfolio management• 1 VO Basics Technology exploitation• 4 VO From Prototype to an international high performance product• 1 VO Technology expoitation networks for companies • 2 VO Jury-Pitch• 14 FL Feedback

Prerequisites

Basics Project Management

Literature

  • Chapters from: Blue Ocean Strategy, W. Chan Kim and Renée Mauborgne• „A Guide to the Project Management Body of Knowledge“, Project Management Institute (PMI)Additional German literature:• Kapitel „Technologievermarktung“ aus E-Book Technologiemanagement (siehe Unterlagensheet, Vorbereitung vor der LV empfohlen)• Standard Projekthandbuch der PMA (Projekt Management Austria)• „Projektmanagement: Leitfaden zum Management von Projekten, Projektportfolios und projektorientierten Unternehmen“, Gerold PATZAK und Günter RATTAY• „pm baseline 3.0“, Projekt Management Austria (PMA)

Assessment methods

  • Course immanent assessment method and group assignment

Anmerkungen

Hands-on course: Experts from corporates/startups are being invited/visited

Social Platforms (SPLF)
German / ILV, FL
3.00
2.00
Module 4.2 Master Thesis (MOD42)
German / iMod
24.00
-
Master's Thesis (MT)
German / SO
21.00
0.00

Course description

In the course each student develops a technical and practically oriented master’s thesis on a scientific level

Methodology

selfdirected learning

Learning outcomes

After passing this course successfully students are able to ...

  • After passing this course successfully students are able to
  • draft a master’s thesis on a scientific level
  • acquire knowledge in the field of the master’s thesis in self-study
  • answer a research question in the field of software engineering
  • explain the bigger picture
  • assess the significance and weight of influential factors, data, and other relevant information
  • present the relevant state of technology and company environment
  • analyze and present the larger technical and socio-economic context

Course contents

  • Independent scientific work of students under the guidance of the supervisor

Prerequisites

Completion of all previous courses of the study program

Literature

  • relvant references for the topic of the master´s thesis

Assessment methods

  • Assessment of the master’s thesis by first and second advisor

Anmerkungen

The course is not displayed in the timetable and no attendance records are kept.

Thesis Seminar (SMT)
German / SE
3.00
2.00